Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/19247
Title: Aggregation of biological knowledge for immunological and virological applications
Authors: OLIVO MIOTTO
Keywords: bioinformatics, knowledge mining, information theory, immunology, virology
Issue Date: 16-Jul-2008
Source: OLIVO MIOTTO (2008-07-16). Aggregation of biological knowledge for immunological and virological applications. ScholarBank@NUS Repository.
Abstract: We present a novel knowledge aggregation approach, implemented by the ABK software, capable of overcoming multiple information heterogeneities and applied to multiple knowledge aggregation tasks. An annotated influenza A protein sequence dataset was constructed from >90,000 public database record. The AVANA software tool was developed to support metadata-enabled diversity analysis of sequence alignments. We conducted comparisons of human-transmissible against avian strains, using a mutual information method. The resulting catalogue of 70 adaptive mutations is the most comprehensive to date, revealing complex patterns of host adaptations. ABK and AVANA were applied to the systematic analysis of vaccine targets consisting of conserved peptides with high HLA-binding potential, performed on multiple pathogens. Our approach was extended to the analysis of biomedical text, using an active learning approach, employing simple interfaces and reusable on multiple curation tasks. These applications demonstrate that our approach is practical, versatile, and applicable to various fields of biomedical research.
URI: http://scholarbank.nus.edu.sg/handle/10635/19247
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